Evidence map›Paper›PMID 39038624›Full record

ArticleJournal of affective disorders2024

Examining the association of familial and social stress, trauma, and support on mood, anxiety, and behavioral symptoms and diagnoses in youth at risk for bipolar disorder and controls.

Masoud Kamali, Emma K Stapp, Janice M Fullerton, Neera Ghaziuddin, Leslie Hulvershorn, Melvin G McInnis, Philip B Mitchell, Gloria Roberts, Holly C Wilcox, John I Nurnberger

Abstract read
In one paragraph

Article in Journal of affective disorders, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Masoud KamaliDepartment of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA. Electronic address: mkamali@mgh.harvard.edu.
Emma K StappDepartment of Epidemiology, The George Washington University Milken Institute School of Public Health, Washington, DC, USA.
Janice M FullertonNeuroscience Research Australia, Randwick, NSW, Australia & School of Biomedical Sciences, Faculty of Medicine and Health, University of New South Wales, Kensington, NSW, Australia.
Neera GhaziuddinDepartment of Psychiatry, Child and Adolescent Psychiatry Section, University of Michigan, Ann Arbor, MI, USA.
Leslie HulvershornIndiana University School of Medicine, Indianapolis, IN, USA.
Melvin G McInnisDepartment of Psychiatry, University of Michigan, Ann Arbor, MI, USA.
Philip B MitchellDiscipline of Psychiatry and Mental Health, Faculty of Medicine and Health, University of New South Wales, Kensington, NSW, Australia.
Gloria RobertsDiscipline of Psychiatry and Mental Health, Faculty of Medicine and Health, University of New South Wales, Kensington, NSW, Australia.
Holly C WilcoxJohns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
John I NurnbergerIndiana University School of Medicine, Indianapolis, IN, USA; Stark Neurosciences Research Institute, Departments of Psychiatry and Medical and Molecular Genetics, Indianapolis, IN, USA.

Funding

Adolescents at High Risk for Familial Bipolar DisorderR01MH068009 · NIMH · INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS · PI NURNBERGER, JOHN I · 2005 to 2009
$1.7M
Adolescents at High Risk for Familial Bipolar Disorder.R01MH068006 · NIMH · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MCINNIS, MELVIN G · 2005 to 2009
$1.4M
Adolescents at High Risk For Familial Bipolar DisorderR01MH073151 · NIMH · WASHINGTON UNIVERSITY · PI GLOWINSKI, ANNE L · 2005 to 2009
$1.3M
NIMH NIH HHS R01 MH068006NIMH NIH HHS R01 MH068009NIMH NIH HHS R01 MH073151
6 · The paper itself

Abstract

introductionYouth with a family history of bipolar disorder (At-Risk) have a higher risk of developing psychiatric disorders and experiencing environmental stressors than youth without such family history (Control). We studied the differential associations of familial and environmental factors on developing psychiatric diagnoses and symptoms, in At-Risk and Control youth.

methodsAt-Risk and Control youth (N = 466, ages 9-22) were systematically assessed for severity of symptoms, psychiatric diagnoses, and self-reported measures of stress and social support. We tested the association of family history and measures of stress or support with symptom severity and diagnoses.

resultsAt-Risk youth had higher symptom severity scores and were more frequently diagnosed with psychiatric disorders (all p values < 0.001). When predicting mood symptom severity, family history had an interaction effect with stressful life events (p < 0.001) and number of distinct traumatic events (p = 0.001). In multivariate models, At-Risk status predicted anxiety disorders (OR = 2.7, CI 1.3-5.4, p = 0.005) and anxiety severity (Coefficient = 0.4, CI 0.2-0.7, p < 0.001) but not mood or behavioral disorder diagnoses or severity. LIMITATIONS: Measures of stress and social support were based on self-report. Not all participants had passed through the period of risk for developing the outcomes under study and the follow up period was variable. We could not fully study the differential impact of physical or sexual abuse due to low frequency of occurrence in controls.

conclusionAt-Risk youth exhibit more severe mood symptoms compared to Controls when exposed to similar levels of stress or trauma. At-Risk youth are also more prone to develop anxiety which may be a precursor for bipolar disorder.

Indexed as

Anxiety DisordersBipolar DisorderSocial SupportStress, PsychologicalAdolescentAdultAffectAnxietyBehavioral SymptomsChildFemaleHumansLife Change EventsMaleRisk FactorsSeverity of Illness IndexAt-riskBipolar disorderLife eventsStressTrauma

Identifiers

PMID39038624
PMCPMC11346594

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.